Implementasi Sistem Logging Jaringan Berbasis Web untuk Monitoring dan Analisis Real-Time
Integration of Telegram OTP Authentication for Access Security and Attack Analysis
DOI:
https://doi.org/10.33998/jakakom.2026.6.1.2639Kata Kunci:
Logging Jaringan, Monitoring Real-time, OTP Telegram, Keamanan Jaringan, Analisis SeranganAbstrak
Keamanan jaringan merupakan aspek penting dalam sistem informasi modern yang beroperasi secara daring. Aktivitas jaringan yang tidak terpantau dapat menyebabkan celah keamanan dan serangan seperti SQL Injection, Brute Force, maupun Cross-Site Scripting (XSS). Penelitian ini bertujuan untuk mengimplementasikan sistem logging jaringan berbasis web yang mampu melakukan monitoring dan analisis ancaman secara real-time. Sistem dirancang dengan arsitektur client-server dan antarmuka berbasis web yang menampilkan log aktivitas jaringan, tingkat ancaman, dan status keamanan melalui dashboard interaktif. Fitur utama sistem meliputi deteksi serangan, sistem skor ancaman, serta autentikasi OTP melalui bot Telegram. Pengujian menunjukkan sistem berhasil mendeteksi ancaman dengan tingkat akurasi 92% dan mengirim notifikasi OTP dengan waktu rata-rata 1,3 detik. Dengan demikian, sistem ini dapat meningkatkan efisiensi dan responsivitas dalam pengawasan keamanan jaringan secara real-time.
Unduhan
Referensi
A. T. Costin, D. Zinca, and V. Dobrota, “A Real-Time Streaming System for Customized Network Traffic Capture †,” Sensors, vol. 23, no. 14, 2023, doi: 10.3390/s23146467.
S. Chaudhari, V. Maurya, V. Singh, S. Tomar, A. Rajan, and A. Rawat, “Real Time Logs and Traffic Monitoring, Analysis and Visualization Setup for IT Security Enhancement,” SSRN Electronic Journal, 2020, doi: 10.2139/ssrn.3527383.
W. L. Ogogo, “Real-Time Monitoring of Network Devices: Its Effectiveness in Enhancing Network Security,” East African Journal of Information Technology, vol. 3, no. 1, 2021, doi: 10.37284/eajit.3.1.153.
I. G. Adnyana, A. M. Dirgayusari, and K. J. Atmaja, “Data Visualization for Building a Cyber Attack Monitoring Dashboard Based on Honeypot,” sinkron, vol. 8, no. 4, pp. 2510–2518, Oct. 2024, doi: 10.33395/sinkron.v8i4.14144.
Y. Alexander Djo Njoera, I. Nyoman Buda Hartawan, A. Agung Gede Bagus Ariana, and E. Dwi Krisna, “The Analysis Of Honeypot Performance Using Grafana Loki And ELK Stack Visualization-Yahya Alexander Djo Njoera et.al The Analysis Of Honeypot Performance Using Grafana Loki And ELK Stack Visualization,” Informatika dan Sains, vol. 14, p. 2024, 2024, doi: 10.54209/infosains.v14i03.
V. S. D. Priya and S. S. Chakkaravarthy, “Containerized cloud-based honeypot deception for tracking attackers,” Sci Rep, vol. 13, no. 1, Dec. 2023, doi: 10.1038/s41598-023-28613-0.
C. H. Han, “Blockade-detection-response based security operations dashboard design,” Computers in Human Behavior Reports, vol. 4, 2021, doi: 10.1016/j.chbr.2021.100143.
R. Gunasekaran, S. Oral, D. Dillow, B. Park, and G. Shipman, “Real-Time System Log Monitoring/Analytics Framework,” Cug.Org, 2015.
D. Kiswanto and R. Adawi, “DEVELOPING OF THESIS GUIDANCE LEARNING MEDIA USING THE FIVE STAGE MODEL (MANTAP) IN FRENCH LANGUAGE STUDY PROGRAM,” Journal of Education, Teaching, and Learning, vol. 9, pp. 28–34, 2024.
A. Izzaturrahmah, M. Tahir, N. Hariri, and H. U. A. Putra, “Implementasi dan Evaluasi Monitoring pada Jaringan Lokal Berbasis Mikrotik Menggunakan Visualisasi Graphing dan Graph,” Digital Transformation Technology, vol. 5, no. 1, pp. 143–149, May 2025, doi: 10.47709/digitech.v5i1.5883.
B. Soewito, “SIEM and Threat Intelligence: Protecting Applications with Wazuh and TheHive,” 2024. [Online]. Available: www.ijacsa.thesai.org
A. W. Bello, A. K. Assouma, T. Djara, F. Ruben, and B. Houenou, “Designing a Real-Time Monitoring System for the AWS Cloud: An Adaptive Dashboard-Based Approach with Prometheus and Grafana *,” Emerging Technologies and Sustainable Agriculture, 2025.
A. Pinto, L. C. Herrera, Y. Donoso, and J. A. Gutierrez, “Survey on Intrusion Detection Systems Based on Machine Learning Techniques for the Protection of Critical Infrastructure,” Mar. 01, 2023, MDPI. doi: 10.3390/s23052415.
V. Pereira, “Cyber-attack detection and response using open-source tools MSc Research Project Cybersecurity”.
A. Tasneem, A. Kumar, and S. Sharma, “Intrusion Detection Prevention System using SNORT,” Int J Comput Appl, vol. 181, no. 32, pp. 21–24, Dec. 2018, doi: 10.5120/ijca2018918280.
Y. Saputra Wijaya and I. Ramadhani, “Web-Based Dashboard for Monitoring Penetration Testing Activities Based on OWASP Standards,” Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI), vol. 6, no. 1, pp. 36–41, 2020, doi: 10.26555/jiteki.v6i1.17019.
R. Singh Bora and K. Awasthi, “Real-Time Analysis Dashboard for Network Security: A systematic literature review.” [Online]. Available: http://ymerdigital.com
R. Yamaganti, V. P. Goud, P. B. Kumar, M. Pramod, K. Reddy, and A. Professor, “INTEGRATED DASHBOARD FOR REAL-TIME SECURITY MONITORING AND INCIDENT RESPONSE.”
